National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Project Manager

Wotton-under-Edge
1 week ago
Create job alert

Job Specification
Role Title: Programme Planner / BOM Controller
Reporting to: Head of Programme Management

Summary:
We are looking for a detail-oriented and organized Programme Planner and BOM Controller to join a dynamic team. As the Programme Planner / BOM Controller, you will play a critical role in ensuring structured and effective planning across the programme. You will take responsibility for creating, updating, managing, and improving timing plans, and for building and maintaining the Bill of Materials (BOM) for a flagship programme initially, with scope to support various vehicle programmes over time. You will need a meticulous but pragmatic approach to your work and will proactively manage dependencies, identify critical paths, and support all planning-related activities to keep the programme on track. Being a genuine team player will be crucial to your success.

Key Responsibilities:



Own and enforce best practices for programme planning, ensuring consistency across all workstreams and functions.

*

Integrate feeder plans into a single, cohesive master schedule, proactively managing dependencies and sequencing by facilitating planning discussions with all stakeholders to resolve conflicts and align schedules.

*

Identify and manage critical paths, highlighting potential schedule risks and collaborating with stakeholders to mitigate delays.

*

Support the Head of Programme Management in developing, structuring, and refining detailed delivery plans aligned with overall programme objectives.

*

Assess the impact of changes, risks, and issues on the master schedule and critical programme milestones.

*

Maintain accurate planning data, providing reports for stakeholders at all levels of the organisation.

*

Programme Planning: Understand and document the interactions and integration between the various functions within the business that contribute to the delivery of a complete end-to-end automotive product development lifecycle.

*

BOM Management: Create, maintain, and interrogate project BOMs, incorporating all required components, materials, assemblies, and subassemblies for ordering of vehicle BOMs.

*

Documentation: Accurately record and document part numbers, quantities, descriptions, and specifications for each item in the BOM to ensure clarity and completeness.

*

Revision Control: Implement a robust revision control process for BOMs, updating changes and managing version control to ensure that the latest BOM version is always available to the relevant stakeholders.

*

Collaboration: Work closely with cross-functional teams, including engineering, procurement, manufacturing, and project management.

*

Change Management: Facilitate change management processes related to timing and BOM updates, ensuring that all stakeholders are informed of changes and that revisions are effectively implemented.

*

Cost Analysis: Collaborate with engineering, procurement, and finance teams to perform cost analyses and ensure that BOMs accurately reflect the cost of materials and components.

*

Supplier Liaison, Quality Assurance, Data Integrity, and Continuous Improvement will be required as part of the role.

Qualifications and Skills:

*

Experience supporting whole-vehicle automotive or similar product development programmes with cross-business functions.

*

Strong proficiency in MS Project with proven experience creating and managing complex programme schedules.

*

In-depth understanding of critical path analysis within MS Project, schedule risk management, and dependency tracking.

*

Educational background: bachelor’s degree in mechanical engineering, automotive engineering, or a related field.

*

Attention to detail: exceptional attention to detail to ensure accuracy and completeness of BOM data.

*

Data management skills: proficiency in using data management tools and software to create and maintain BOMs accurately.

*

Team player: excellent collaboration and communication skills to work effectively with cross-functional teams and stakeholders.

*

Project management: basic understanding of project management principles and methodologies.

*

Problem-solving abilities: strong analytical and problem-solving skills to address BOM-related challenges and recommend effective solutions.

*

Time management: excellent organisational skills to manage multiple BOMs and meet project deadlines.

*

Automotive industry knowledge: familiarity with the automotive industry, including automotive components and materials, is advantageous.

*

Additional certifications in project management or database management are a plus

Related Jobs

View all jobs

Project Manager

Project Manager

Project Manager

Project Manager

Project Manager Programmer Manager, Service Delivery Manager, Big Data.

Project Manager Programmer Manager, Service Delivery Manager, Big Data.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.